Proof, not promises
Aiperion AI Canvas Engine
Client project · Delivered. A generative engine that translates an idea into a valid, structured canvas in real time, with extensible tools and natural voice input.
01
From prompt to structured canvas
The core engine interprets a user's request and produces schema-compliant canvas configurations rather than unstructured text, allowing the product to render useful visual outputs immediately.
02
An extensible MCP architecture
As the product matured, we designed and implemented a custom Model Context Protocol server so new tools and canvas operations could be added without binding the experience to one narrow prompt flow.
Custom MCP server
Extensible canvas tools
Self-hosted speech-to-text
03
Voice without surrendering the workflow
Self-hosted speech-to-text lets users work naturally while the same validation and structured-output rules continue to govern what reaches the canvas.
Have a process in mind?
Tell us about one workflow that takes more time than it should. We'll tell you honestly whether automation makes sense.
Walk us through a process